The objective of this study is to derive an operational statistical prediction scheme for forecasting the summer monsoon rainfall (SMR, defined as the total rainfall between April and June) over South China (SC). The region of SC is first identified by applying the techniques of cluster analysis and
Predictability of Zimbabwe summer rainfall
โ Scribed by Makarau, Amos; Jury, Mark R.
- Publisher
- John Wiley and Sons
- Year
- 1997
- Tongue
- English
- Weight
- 416 KB
- Volume
- 17
- Category
- Article
- ISSN
- 0899-8418
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โฆ Synopsis
Predictors of Zimbabwe summer rainfall are investigated with a view to improved long-range forecasts. Teleconnectivity is assessed in respect of sea-surface temperatures, the Southern Oscillation index, the Quasi-biennial Oscillation (QBO), outgoing longwave radiation (OLR) and wind. Spectral analyses of historical rainfall gives an indication of cycles in the range 2ร3, 18 and 3ร8 years, possibly associated with the QBO, the luni-solar tide and the El Nin รoยฑSouthern Oscillation (ENSO), respectively. Pair-wise correlations are found between Zimbabwe summer rainfall and SST in the central Indian Ocean (r ร0ร5) in austral spring. Below normal OLR values in September over southern Africa corresponds with good rains in the following summer. Rainfallยฑupper-wind correlations are optimum (r ร0ร7) over the equatorial Atlantic in spring. Comparatively weak correlation with the QBO may also reยฏect biennial adjustment of monsoon and global ENSO teleconnections. Additional predictor variables are utilized and multivariate models are formulated for early and late summer rainfall and maize yield in Zimbabwe. The models use three to ยฎve predictors, are trained over a 22-year period and perform well in jack-knife skill tests. Summer rainfall forecasts with one season lead times are viable and could ameliorate hardship caused by drought.
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